Agile Generative AI Training 
Paul Hobcraft
NOVEMBER 21, 2023
Innovation is undergoing a radical change, in opening up to technology, collaborative thinking and the value of generative AI thinking. For me, ecosystem innovation and generative AI have arrived at that pivotal point to significantly influence future innovation design. Innovation needs reinventing.
TechEmpower Innovation
OCTOBER 9, 2023
Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Idea to Value
MARCH 14, 2025
.: AI is not used at all, and most processes are still performed manually (whether digitally or physically) Level 1: Unaware A.I.: AI is embedded in everyday tools without strategic intent. Organizations experiment with generative AI for simple, high-impact tasks. Level 2: Basic A.I.: Level 3: In-App A.I.:
Leapfrogging
MARCH 21, 2025
By incorporating AI into your innovation management processes, you can enhance your ability to validate new ideas effectively, ensuring that your organization remains competitive and innovative in a rapidly changing market. This leads to faster validation cycles and more agile decision-making.
Ecosystems4Innovating
FEBRUARY 14, 2025
I took a look at 1) how can AI drive innovation in different ways, 2) would this require a new operating model and 3) how the innovation workflow will require a transformational change to the operating model and 4) the outcome of a fundamental rethinking of how innovation is approached and executed. We need a game-changing approach.
Leapfrogging
MARCH 21, 2025
AI in innovation management is not just about automating processes; it’s about augmenting your decision-making capabilities with data-driven insights. Whether you are involved in ai for idea generation , ai in design thinking , or ai for rapid prototyping , AI can provide valuable inputs at every stage of the innovation process.
Leapfrogging
MARCH 19, 2024
Integrating AI into the phases and gates processes is essential for organizations striving to maintain a competitive edge in today’s fast-paced market. The traditional approach, while structured and reliable, often lacks the flexibility and agility needed to quickly adapt to changing market demands or technological advancements.
Expert insights. Personalized for you.
162 
Let's personalize your content